In this work, we proposed a novel normalized filed autocorrelation function (g1) –based functional ultrasound (fUS). We introduced a metrics derived from g1 function of ultrasound signals that is inversely proportional to blood flow and validated g1-fUS with in vivo experiments of whisker stimulation. Results show that g1-fUS is able to detect blood flow speed change in response to enhanced neural activity and is not affected by clutters compared to power Doppler based fUS, indicating that g1-fUS is a good candidate for whole brain functional imaging in small animals.
Photoacoustic tomography (PAT) reconstruction with linear transducer arrays suffers from limited view artifacts, which impairs the reconstruction accuracy. Here, we introduce a modified Tikhonov regularization method to include vascular map obtained by Ultrasound localized microscopy (ULM) as a spatial prior in PAT reconstruction. We suggest an approach based on L-curve and Pearson correlation map to guide the selection of optimal regularization parameters. Simulation results suggest that spatial prior-based Tikhonov regularization can effectively address the limited view artifacts of PAT reconstruction with linear transducer arrays, paving the way of integrating PAT with ULM to enhance reconstruction accuracy in limited-view PAT.
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